NGA 911 Receives International Community Impact and Service Award for Bringing World-Class Emergency Response System to the Philippines

Torrance, California, August 15, 2026 — California-based public safety technology company NGA 911 LLC has been awarded the prestigious Community Impact and Service Award by the International Asian American Business Expo (IAABE) in California for bringing world-class emergency response system to the Philippines.

Next Generation Advanced 911 (NGA 911) is a global leader in emergency communications technology that develops systems to connect people in their most critical moments to police, fire, and emergency medical responders.

 

The provider of advanced cloud-based Next Generation emergency communications and public safety solutions modernizes traditional dispatch infrastructure by using IP-based systems to reliably transmit voice, text and video during critical incidents.

The award was presented to NGA 911 at the IAABE Legacy Gala at the Torrance Marriott in California on August 7. The affair was hosted by the Coalition of Filipino American Chambers of Commerce (COFACC) – a national alliance of over 61 Filipino American Chambers of Commerce spanning over 20+ U.S. states.

IAABE International Honors are supported by participating consulates from the Philippines, Brunei, India, Indonesia, Malaysia, Mexico, and Sri Lanka.

 

The Philippine Consulate General in Los Angeles — one of the Philippine government's largest consular posts, serving approximately 1.3 million Filipinos across Southern California, Southern Nevada, and Arizona — nominated NGA 911 for the award.

 

“We recognize the company’s efforts to bring a unified emergency response system modeled after the U.S. 911 system to the Philippines. Its full implementation will benefit a huge number of our Filipino population,” Los Angeles Consul General Adelio Angelito Cruz said.

 

Ishka Villacisneros-Tusjakova, Chief Financial Officer of NGA 911 in the United States and President of Next Generation Advanced 911 Philippines received the award on behalf of the company.

 

"This recognition is an opportunity to put the Philippines on an international stage as an example of what can happen when American innovation meets Filipino leadership and public service. As a Filipina, I am proud that the work we are doing can become a model for other ASEAN countries — and inspire us to keep building technology that reaches more people and ultimately saves more lives. If our work can inspire another city or another country to modernize emergency response, then this recognition becomes something much bigger than Next Generation 911," Villacisneros-Tusjakova said.

 

Today, NGA's technology supports emergency communications across the United States and powers the Unified 911 system of the Philippines. Every day, its platform helps ensure that emergency calls and critical information reach dispatchers quickly and accurately, enabling first responders to save lives and protect communities.

 

Soon, citizens will be able to do far more than make a voice call. They will be able to text 911, send photos, videos, and share real-time information with emergency responders to provide critical situational awareness even before help arrives. Through continuous innovation, NGA is helping redefine the future of public safety, Ms. Villacisneros-Tusjakova added.

 

The Philippines became the first country in Southeast Asia to adopt this US-grade emergency system and is the only ASEAN country where next-generation technology is fully implemented and actively being used. Neighboring countries like Thailand, Indonesia and Vietnam are looking to the Philippines as template for upgrading their own legacy infrastructures.

AMD Tracks Ahead of Rack-Scale AI Energy-Efficiency Goal

AMD reached an estimated 4x increase in AI energy efficiency from 2024 to 2026, building momentum toward its 2030 goal to deliver a 20x increase in rack-scale efficiency for AI training and inference.

What’s the News? AMD has achieved an estimated 4x increase in AI energy efficiency as of mid-2026, ahead of its 3x projected target for this stage and more than double the historical trendline for the same point. This progress shows AMD is building momentum toward its 2030 goal to deliver a 20x increase in rack-scale energy efficiency for AI training and inference.1 2 It also reflects the work being done by AMD across silicon, systems and software to help customers scale AI workloads more efficiently.

Why It Matters? AI compute is accelerating rapidly, raising the bar for what data center infrastructure needs to deliver. Meeting that demand requires innovation across the whole stack: CPUs, GPUs, networking, software, power and cooling all need to work together efficiently at the rack and data center level. Improving energy efficiency can help deliver more AI performance without increasing power, improve total cost of ownership and help customers scale faster.

What’s the Role of AMD?

“The next wave of AI efficiency will depend on tighter co-optimization across compute silicon, memory, interconnects, software and rack-scale system design. Our estimated 4x improvement through 2026 reflects the strength of our approach and the progress AMD is making across the full system, putting us ahead of our projected pace toward the 2030 goal.”

— Sam Naffziger, senior vice president and Corporate Fellow, AMD

What Efficiency Gains are Expected? Based on a representative AI training workload, AMD projected rack-scale energy-efficiency gains are expected to produce one of two related benefits by 2030:3 

Same compute, fewer resources: Approximately two 2030 AMD racks are expected to deliver the same compute as 570 racks in 2024, enabling a reduction in use-phase electricity by 20x and carbon intensity by 28x. 

More compute, same energy: Alternatively, efficiency gains are expected to enable 20x more compute, measured in floating point operations per second (FLOPs) per watt, using the same amount of energy.

How is AMD Increasing Efficiency? AMD is working to increase efficiency across the full AI stack through advances in compute architecture, process technology, memory bandwidth, data movement, interconnects, software and system-level co-design. The goal is to deliver substantially more compute performance without requiring energy consumption to grow at the same pace.

As AI infrastructure scales from individual nodes to full racks, efficiency increasingly depends on how well CPUs, GPUs, memory, networking, storage and software work together. AMD is applying system-level co-design, with teams working across product categories, to help reduce bottlenecks, move data more efficiently and improve performance per watt across the platform.

What’s the Foundation for Efficiency Gains? Beyond software optimization, three primary factors drive AI system performance: compute capability, memory bandwidth and interconnect bandwidth. Advanced process technology and architectural improvements help increase floating-point compute performance per watt. Advanced architectures and memory integration improve bandwidth, while high-speed interconnects and tighter integration increase the network bandwidths. Together, AMD expects these innovations to deliver 20x more AI performance per watt by 2030 compared with 2024.

Why Do Memory and Interconnects Matter? Modern AI workloads depend on moving large amounts of data efficiently. Improving memory bandwidth, bandwidth density and bandwidth per watt helps keep compute engines fed while reducing wasted power. High-bandwidth memory, larger caches and tighter integration between memory and compute can reduce unnecessary data movement, which costs energy.

Interconnect technology has also become an important part of efficient AI infrastructure as larger models and workloads increasingly depend on how efficiently GPUs, CPUs and other system components work together. High-speed scale-up interconnects help larger systems reduce bottlenecks and share data more efficiently.

How Does Software Help? Hardware provides the foundation, but software helps unlock continued efficiency gains. The AMD ROCm™ software stack, open standards and close customer collaboration help developers and organizations deploy AI workloads more efficiently on AMD platforms. Open ecosystems also support broader optimization across AI and high-performance computing (HPC) deployments.

These optimizations can help improve both large-scale AI training and inference workloads, where improving throughput and reducing energy consumed per generated token are increasingly important as AI applications scale.

What’s the Customer Benefit? Customers need more useful compute for the energy available. The projected rack-scale efficiency gains AMD has set forth can enable AI and HPC customers to achieve data center-level gains in power and cooling infrastructure, which can be limiting factors to increasing compute performance. Better energy efficiency can help reduce operational electricity use, improve total cost of ownership, and support more sustainable AI and HPC growth.

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GCash Pushes Responsible AI as Key to Inclusive Growth at Philippine National Innovation Day 2026

Responsible use of artificial intelligence (AI) is critical in driving inclusive and sustainable growth, as it can address persistent gaps in financial access and literacy, particularly in a mobile-first yet risk-exposed region like Southeast Asia. This was the key message of GCash, the country’s leading finance app and largest cashless ecosystem, as it joined policymakers and industry leaders at the 2026 National Innovation Day.

 

Held at the Diamond Hotel Manila, the event, organized by the Depdev National Innovation Council in partnership with ASEAN, brought together key stakeholders under the theme “AI for Growth, Opportunity, and Sustainability in ASEAN (AGOS)”, focusing on how emerging technologies can be scaled safely across the region.

 

During the discussions, Mynt chief data officer Sara Venturina highlighted how GCash is leveraging data and AI to help deliver equitable fintech access to Filipinos. “If we don’t use technology responsibly, it will lead to more inequality,” Venturina said. “At Gcash, we harness the power of data and AI to help move Filipinos toward financial progress, while ensuring that inclusion remains at the center of innovation.”

 

She emphasized that GCash’s AI strategy is grounded in improving customer outcomes while upholding strict standards for data privacy and protection. This includes carefully evaluating how technologies are deployed, ensuring efficiency without compromising accessibility or trust.

 

As conversations around AI governance continue to evolve, Venturina also pointed to the need for stronger industry-wide standards. “As AI scales, the question is not just how we build these systems, but how we ensure they remain fair, safe, and accessible,” she said, citing the importance of standardized testing and evaluation frameworks.

 

She added that accountability remains constant regardless of where data is stored, reinforcing GCash’s commitment to safeguarding user information.

 

“Whether the data resides locally or in a data center, the responsibility to protect that data remains with us, and we take that seriously.”

 

GCash also highlighted the growing role of emerging technologies that enable the safe use of data while preserving user privacy, allowing institutions to innovate without compromising trust.

 

The broader event featured discussions on national innovation policy and digital transformation, with key insights from government leaders, including Department of Science and Technology Secretary Dr. Renato Solidum, Department of Education Secretary Atty. Juan Edgardo Angara and President Ferdinand R. Marcos Jr.

 

As AI adoption accelerates across the Philippines and the ASEAN region, GCash reaffirmed its commitment to working alongside government and industry partners to advance responsible innovation—strengthening financial literacy, enhancing data governance, and expanding access to digital financial services for more Filipinos.

 

For more information, visit https://www.gcash.com.